arXiv Machine Learning July 28, 2026 By Zhiheng Chen, Urban Fasel, Anastasia Bizyaeva

Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification

Read the original on arXiv Machine Learning →

arXiv:2604. 20141v2 Announce Type: replace Abstract: We introduce Fourier Weak SINDy, a minimal noise-robust and interpretable derivative-free equation learning method that combines weak-form sparse equation learning with spectral density estimation for data-driven test function selection.

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